Binyu Wang

485 citations
35 papers · 277 · h-index 10

Impact in

Papers in

Binyu Wang

31 papers receiving 271 citations

Peers

Binyu Wang
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 179
  • Computer Graphics and Computer-Aided Design 6
  • Mechanical Engineering 63
  • Computer Vision and Pattern Recognition 28
  • Control and Systems Engineering 21
Replace Yuan Zhu with:
Yuan Zhu China
Byoung-Soo Choi South Korea
Xiaoyang Zhang China
Che-Ming Chang Taiwan
Ao Chen China
Ran An China
S. Sivaramakrishnan United States
Yunsang Kwak South Korea
Binyu Wang relative to Yuan Zhu China Yuan Zhu's profile →
Citations per field
00.5×1.5×2.0×
Yuan Zhu · 1×
Citations per year

Countries citing papers authored by Binyu Wang

Since Specialization
Citations

This map shows the geographic impact of Binyu Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Binyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binyu Wang more than expected).

Fields of papers citing papers by Binyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Binyu Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Binyu Wang. The network helps show where Binyu Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Binyu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Binyu Wang Line = papers co-authored together Binyu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 202135
3 202128
4 202125
5 202021
6 202416
7 201216
8 202415
9 20229
10 20199
11 20238
12 20247
13 20117
14 20217
15 20114
16 20224
17 20113
18 20243
19 20203
20 20243

About Binyu Wang

Binyu Wang is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 35 papers that have together received 277 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (10 papers), Color Science and Applications (5 papers), HVDC Systems and Fault Protection (5 papers), Cancer-related molecular mechanisms research (4 papers), Electromagnetic Compatibility and Noise Suppression (4 papers), Advanced Neural Network Applications (3 papers), Thermal Analysis in Power Transmission (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (179 citations), Computer Graphics and Computer-Aided Design (6 citations), Mechanical Engineering (63 citations), Computer Vision and Pattern Recognition (28 citations) and Control and Systems Engineering (21 citations). Binyu Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fengtao Yang, Laili Wang, Wei Mu, Jianpeng Wang, Haisong Xu, Jinjun Liu, Cheng Zhao, Fan Zhang, Ming Ronnier Luo and Yongmei Gan. Their work appears in journals such as Chinese Optics Letters, IEEE Transactions on Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics, PeerJ and Frontiers in Veterinary Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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